Text Analysis with R for Students of Literature (Quantitative Methods in the Humanities and Social Sciences)

Matthew Jockers

ISBN 10: 3319349198 / ISBN 13: 9783319349190

Published by Springer, 2016

About this Item

reprint edition. 212 pages. 9.00x6.00x0.75 inches. In Stock.

Seller Inventory # 3319349198

Bibliographic Details

• Title: Text Analysis with R for Students of Literature (Quantitative Methods in the Humanities and Social Sciences)
• Publisher: Springer
• Publication Date: 2016
• Language: English
• ISBN 10: 3319349198
• ISBN 13: 9783319349190
• Binding: Paperback
• Condition: Brand New
• Weight: 0.43 kilograms

About this title

Synopsis

Text Analysis with R for Students of Literature is written with students and scholars of literature in mind but will be applicable to other humanists and social scientists wishing to extend their methodological tool kit to include quantitative and computational approaches to the study of text. Computation provides access to information in text that we simply cannot gather using traditional qualitative methods of close reading and human synthesis. Text Analysis with R for Students of Literature provides a practical introduction to computational text analysis using the open source programming language R. R is extremely popular throughout the sciences and because of its accessibility, R is now used increasingly in other research areas. Readers begin working with text right away and each chapter works through a new technique or process such that readers gain a broad exposure to core R procedures and a basic understanding of the possibilities of computational text analysis atboth the micro and macro scale. Each chapter builds on the previous as readers move from small scale “microanalysis” of single texts to large scale “macroanalysis” of text corpora, and each chapter concludes with a set of practice exercises that reinforce and expand upon the chapter lessons. The book’s focus is on making the technical palatable and making the technical useful and immediately gratifying.

About the Author

The author, Matthew L. Jockers, is Associate Professor of English and Director of the Nebraska Literary Lab at the University of Nebraska in Lincoln.  Jockers's text mining research has been featured in the New York Times, Nature, the Chronicle of Higher Education, Wired, New Scientist, Smithsonian, NBC News and many others. Jockers blogs about his research at www.matthewjockers.net.